Symbolic Visual Learning by Katsushi Ikeuchi
Some of the fundamental constraints of automated machine vision have been the inability automatically to adapt parameter settings or utilize previous adaptations in changing environments. Symbolic Visual Learning presents research which adds visual learning capabilities to computer vision systems. Using this state-of-the-art recognition technology, the outcome is different adaptive recognition systems that can measure their own performance, learn from their experience and outperform conventional static designs. Written as a companion volume to Early Visual Learning (edited by S. Nayar and T. Poggio), this book is intended for researchers and students in machine vision and machine learning.
| SKU | Unavailable |
| ISBN 13 | 9780195098709 |
| ISBN 10 | 0195098706 |
| Title | Symbolic Visual Learning |
| Author | Katsushi Ikeuchi |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Oxford University Press Inc |
| Year published | 1997-05-29 |
| Number of pages | 368 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |